Not Very Resilient
Last Update: 7/31/2026
AI Resilience Score for Weighers & Measurers:
22.1%
Median Score
Meaningful human contribution
Measures the parts of the occupation that still require a human touch. This score averages data from up to four AI exposure datasets, focusing on the role’s resilience against automation.
Low
Long-term employer demand
Predicts the health of the job market for this role through 2034. Using Bureau of Labor Statistics data, it balances projected annual job openings (60%) with overall employment growth (40%).
Low
Sustained economic opportunity
Measures future earning potential and career flexibility. This score is a blend of total projected labor income (67%) and the role’s inherent ability to adapt to economic and technological shifts (33%).
Low
This reflects the reliability of your score based on the number of data sources available for this career and how closely those sources agree on the outlook. A higher confidence means more consistent evidence from labor experts and AI models.
There are a reasonable number of sources for this result, but there is some disagreement between them.
Contributing sources
AI Resilience Report forWeighers, Measurers, Checkers, and Samplers, Recordkeeping
$46,380 median salary•5,300 annual openings•SOC Code: 43-5111.00
Weighers, Measurers, Checkers, and Samplers, Recordkeeping are less resilient to AI impacts than most occupations, according to our analysis of 7 sources.
This career is labeled "Not Very Resilient" because so much of the core work, including visual inspections, barcode scanning, and recordkeeping, can now be handled by AI-powered cameras and computer vision systems that are faster and more accurate than humans doing those tasks by hand. The return on investment for companies is clear and immediate, which means businesses are adopting these tools quickly, leaving fewer openings for workers doing purely routine checking and logging.
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More career infoAnalysisChatNewsMoreThis role is not very resilient
This career is labeled "Not Very Resilient" because so much of the core work, including visual inspections, barcode scanning, and recordkeeping, can now be handled by AI-powered cameras and computer vision systems that are faster and more accurate than humans doing those tasks by hand. The return on investment for companies is clear and immediate, which means businesses are adopting these tools quickly, leaving fewer openings for workers doing purely routine checking and logging.
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View analysisChat with CoachLatest newsMore career infoAnalysisChatNewsMoreAnalysis of Current AI Resilience
Weighers & Measurers
Updated Quarterly
How is AI changing Weighers & Measurers jobs?
If you weigh, measure, check, or sample products for a living, you're seeing some of the fastest-moving AI deployment in any blue-collar role — but it's mostly augmenting workers rather than fully replacing them. Industrial cameras paired with deep-learning models now perform many visual checks that humans used to do by eye. At one Collins Aerospace plant, AI-enabled automated optical inspection cut circuit-board inspection time from 30 minutes to 10, raised output 14%, and halved the number of defective parts that slip through [1].
Trade press for the quality field describes multi-modal "fusion" inspection systems that combine cameras, lasers, and eddy-current sensors to catch defects single-technology lines would miss [2]. In shipping and receiving — the recordkeeping side of the job — warehouse vendors report that computer vision and "zero-touch" quality control are now embedded in goods-in, picking, and returns areas, automatically capturing barcodes and verifying contents without manual scanning [3]. The U.S. government is pushing this further: NIST invested $20 million in late 2025 to launch new centers specifically aimed at applying AI to American manufacturing [4].
Sources
How fast is AI adoption growing for Weighers & Measurers?
Adoption is happening quickly because the tools are commercially available, the ROI is obvious (fewer defects, faster throughput), and labor shortages in warehousing make automation attractive. The World Economic Forum projects 22% of all jobs will be disrupted by 2030, with 92 million displaced but 170 million new roles created — and nearly 40% of current skills changing [5]. The good news for you: the same report stresses that human judgment, problem-solving, and resilience remain in high demand.
Workers who learn to operate, calibrate, and audit AI inspection systems — interpreting flagged items, handling exceptions, and ensuring compliance with standards — are becoming more valuable, not less. Think of AI as a tireless second pair of eyes that handles the repetitive counting and logging, while you focus on judgment calls, troubleshooting, and quality leadership.
Sources
Will AI replace Weighers & Measurers?
In part. We think AI will eventually automate a real share of this work, but the transition creates new opportunities for workers who adapt.
Our 22.1% AI Resilience Score reflects real exposure. Industrial cameras and deep-learning models already handle many visual checks that humans used to do by eye, and warehouse systems now capture barcodes and verify contents automatically without manual scanning [3]. At one manufacturing facility, AI-powered inspection cut circuit-board check times by two-thirds [1]. When the repetitive counting, logging, and routine checking can be done faster and cheaper by machines, employers will use them.
What stays human is the judgment layer: interpreting flagged items, handling exceptions, troubleshooting when the system gets it wrong, and ensuring compliance with quality standards. Those are real skills, and they travel well.
The smarter career move here is to treat this role as a starting point rather than a destination. Workers who learn to operate, calibrate, and audit AI inspection systems become quality technicians, not just checkers. The World Economic Forum expects nearly 40% of current skills to change by 2030, with millions of new roles created alongside disruption [5]. NIST invested $20 million in late 2025 specifically to advance AI in manufacturing [4]. That investment needs people who understand both the machines and the standards they are supposed to uphold.
Sources
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Latest AI news for Weighers & Measurers
The articles highlight how workers in "Weighers, Measurers, Checkers, and Samplers, Recordkeeping" roles can adapt to AI advancements. The first article notes that occupations exposed to AI often have workers who can adapt effectively, suggesting that these roles are not necessarily at risk but may evolve. The second article emphasizes that natural language processing can enhance task efficiency, enabling workers to focus on more complex aspects of their jobs. Embracing AI tools can lead to greater productivity and job security in this field, fostering resilience against changes in the labor market.
How Adaptable Are American Workers to AI-Induced Job ...
www.governance.ai • 7/20/2026
We find that AI exposure and adaptive capacity are positively correlated: many occupations highly exposed to AI contain workers with relatively strong means to ... Read more
Artificial Intelligence and the Labor Market
menakahampole.com • 7/20/2026
by M Hampole · 2026 · Cited by 186 — We use advances in natural language processing to construct new measures of workers' task- level exposure to artificial intelligence (AI) ... Read more
More Career Info
Career: Weighers, Measurers, Checkers, and Samplers, Recordkeeping
They ensure products meet standards by weighing, measuring, and checking them, then recording the results to keep everything accurate and organized.
Parent Careers
Employment & Wage Data
Median Wage
$46,380
Jobs (2024)
49,800
Growth (2024-34)
-4.8%
Annual Openings
5,300
Education
High school diploma or equivalent
Experience
None
Source: Bureau of Labor Statistics, Employment Projections 2024-2034
Task-Level AI Resilience Scores
AI-generated estimates of task resilience over the next 3 years
1
Inspect incoming loads of waste to identify contents and to screen for the presence of specific regulated or hazardous wastes.
2
Unload or unpack incoming shipments.
3
Prepare measurement tables and conversion charts, using standard formulas.
4
Maintain financial records, such as accounts of daily collections and billings, and records of receipts issued.
5
Sort products or materials into predetermined sequences or groupings for display, packing, shipping, or storage.
6
Examine products or materials, parts, subassemblies, and packaging for damage, defects, or shortages, using specification sheets, gauges, and standards charts.
7
Collect or prepare measurement, weight, or identification labels and attach them to products.
Tasks are ranked by their AI resilience, with the most resilient tasks shown first. Core tasks are essential functions of this occupation, while supplemental tasks provide additional context.
